Can auxiliary variables be used in bioinformatics?

variable of interest Y, using the ranking variable X as an auxiliary variable when the population mean µx is unknown. The proposed estimators fare better ... The data in the auxiliary file is primarily imputed from other datasets including the Medical Expenditure Panel Survey Household Component (MEPS-HC), Medical ... Auxiliary variables are variables introduced into a model, either because it is difficult to express the constraints at all in terms of the existing variables, ... . The variables in Y are called auxiliary variables. An auxiliary variable y is called dependent if and only if in the first item above all extensions a0 ... Auxiliary-variable Exact Hamiltonian Monte. Carlo Samplers for Binary Distributions. Ari Pakman and Liam Paninski. Department of Statistics. Center for ... Dec 2, 2020 ... In this article, an auxiliary variable inductor, of which the equivalent inductance can be controlled by adjusting the dc current in its ... The full model outperformed all auxiliary variable selection strategies in the simulation study, with the LASSO strategy the best performing auxiliary variable ... The likelihood function is adjusted so that incomplete observations are used in estimation. Implemented in Stata's sem command with the method(mlmv) option. Abstract. We present a new approach to sample from generic binary distributions, based on an exact Hamiltonian Monte Carlo algorithm applied to a piecewise ... Oct 1, 2019 ... Adjustment of the Auxiliary Variable(s) for Estimation of a Finite Population Mean. Language: English. Keywords: model based approach; percent ...